Digital Twin in Logistics and Supply Chain Management

Digital Twin in Logistics and Supply Chain Management

Yaren Cebir, Erkut Akkartal
Copyright: © 2024 |Pages: 23
DOI: 10.4018/979-8-3693-3575-8.ch008
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Abstract

The advancement of technology has reshaped the pathway for products to reach end consumers, with disruptive technologies emerging as a key factor in streamlining operations and appealing to users. Digital twin technology stands out among these innovations, offering a virtual model of physical items, processes, or systems, allowing for testing and monitoring without the physical object. This chapter examines the role and impact of digital twin technology as a form of disruptive technology, especially focusing on its transformative influence on the logistics sector. This technology addresses the logistics industry's need for smarter, quicker, and more efficient solutions amidst ever-changing consumer demands and competitive pressures. It highlights how digital twin technology contributes to increased efficiency, cost savings, and the optimization of logistical processes, making it essential for companies to stay competitive and adapt to market shifts.
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Background

What Is Dıgıtal Twin?

Digital twin technology, characterized as a prime example of disruptive innovation in our era, is transforming how industries approach the lifecycle management of products, systems, and processes. IBM's definition encapsulates the essence of a digital twin as not just a static virtual model but a dynamic and evolving representation that integrates real-time data across the lifecycle of the object or system it mirrors (Gharaibeh et al., 2024). This integration of simulation, machine learning, and reasoning capabilities empowers unparalleled decision-making insights, allowing for predictive maintenance, optimized operations, and innovative product development strategies.

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